In PySpark, the Parquet file is a column-type format supported by several data processing systems. By using the Parquet file, Spark SQL can perform both read and write operations.
The Parquet file contains a column type format storage which provides the following advantages:
- It is small and consumes less space.
- It facilitates us to fetch specific columns for access.
- It follows type-specific encoding.
- It offers better-summarized data.
- It contains very limited I/O operations.
